Cardano (ADA) is still in negative territory, unable to rebound as the broader crypto market struggles to recover from a dramatic crash this week that led to approximately $110 billion being erased ...

This repository implements the main experiments of our paper, Distilling Many-Shot In-Context Learning into a Cheat Sheet (EMNLP 2025 Findings). We introduce cheat-sheet ICL, which distills the ...

XRP is trading at $3, gaining 4.39% in the past 24 hours, making it the strongest performer among the top ten cryptocurrencies by market capitalization. While this rebound offers some relief, it comes ...

Objective: To construct a diagnostic model of osteoarthritis related to methylation genes using machine learning algorithms, and analyze its prognostic value and biological functions. Methods: The GSE ...

1 Department Health informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia 2 Department of Community Health Nursing, School of Nursing ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

Abstract: This report explores the critical field of plant disease recognition through the use of various machine learning algorithms. As agriculture faces increasing challenges from pathogens and ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Background/aims The antiseizure medication, vigabatrin, is associated with visual field loss (VAVFL). However, the fields can be challenging to interpret due to unfamiliarity with the characteristics ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...